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Particle filter is a popular stochastic tracker for object tracking. In this paper, we proposed a novel algorithm for object tracking based on particle filter and Scale Invariant Feature Transform (SIFT). The result of SIFT matching does not adopt to reweight the particles as previous methods, we adopts a hybrid schema to supplement the particle distribution of traditional factor sampling with importance...
Log-polar transformation (LPT) is a well-known tool for image registration. LPT makes rotation and scale change in Cartesian coordinate appearing as translation in log-polar domain. Translation can be obtained using phase correlation techniques. However, in the current LPT methods, when images are sampled, the fixed number of samples tends to result in low precision. Aiming to this issue, this paper...
This paper presents a novel segmentation algorithm for metallographic images, especially those objects without regular boundaries and homogeneous intensities. In metallographic quantification, the complex microstructures make conventional approaches hard to achieve a satisfactory partition. We formulate the segmentation procedure as a new framework of iterative watershed region growing constrained...
Thanks to their intuition and directness, semi-formal graph notations, such as UML, FBD and ER-diagram, have been widely used in every stage of software development to compose a comprehensive specification. But on the other hand, because of the lack of precise definition of semantic, it results in some problems, for example, the inconsistencies of those notations are very difficult to be checked and...
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